Author
Listed:
- Zhao Feng
(Hainan University
JITRI
Huazhong University of Science and Technology)
- Xiangning Li
(Hainan University
JITRI
Huazhong University of Science and Technology)
- Yue Luo
(Huazhong University of Science and Technology)
- Xin Liu
(Huazhong University of Science and Technology)
- Ben Long
(Huazhong University of Science and Technology)
- Tao Jiang
(JITRI)
- Xueyan Jia
(JITRI)
- Xiaowei Chen
(JITRI)
- Jie Luo
(JITRI)
- Xiaokang Chai
(Huazhong University of Science and Technology)
- Zhen Wang
(Huazhong University of Science and Technology)
- Miao Ren
(Hainan University
JITRI)
- Xin Lu
(Huazhong University of Science and Technology)
- Gang Yao
(Huazhong University of Science and Technology)
- Mengting Zhao
(Hainan University
Huazhong University of Science and Technology)
- Yuxin Li
(Huazhong University of Science and Technology)
- Zhixiang Liu
(Huazhong University of Science and Technology)
- Hong Ni
(Huazhong University of Science and Technology)
- Chuhao Dou
(Huazhong University of Science and Technology)
- Shengda Bao
(Huazhong University of Science and Technology)
- Shicheng Yang
(Hainan University)
- Zoutao Zhang
(Huazhong University of Science and Technology)
- Jiandong Zhou
(Huazhong University of Science and Technology)
- Lingyi Cai
(Huazhong University of Science and Technology)
- Qi Zhang
(Huazhong University of Science and Technology)
- Ayizuohere Tudi
(Huazhong University of Science and Technology)
- Chaozhen Tan
(Huazhong University of Science and Technology)
- Zhengchao Xu
(Huazhong University of Science and Technology)
- Siqi Chen
(Huazhong University of Science and Technology)
- Wenxiang Ding
(Huazhong University of Science and Technology)
- Wenjuan Shi
(Huazhong University of Science and Technology)
- Anan Li
(JITRI
Huazhong University of Science and Technology)
- Hong-wei Dong
(University of California Los Angeles)
- Hui Gong
(JITRI
Huazhong University of Science and Technology)
- Qingming Luo
(Hainan University
JITRI)
Abstract
Multi-omics studies, represented by connectomes and spatial transcriptomes, have entered the era of single-cell resolution, necessitating a reference brain atlas with spatial localization capability at the single-cell level1–4. However, such atlases are unavailable5. Here we present a whole mouse brain dataset of Nissl-based cytoarchitecture with isotropic 1-μm resolution, achieved through continuous micro-optical sectioning tomography. By integrating multi-modal images, we constructed a three-dimensional reference atlas of the mouse brain, providing the three-dimensional topographies of 916 structures and enabling arbitrary-angle slice image generation at 1-μm resolution. We developed an informatics-based platform for visualizing and sharing of the atlas images, offering services such as brain slice registration, neuronal circuit mapping and intelligent stereotaxic surgery planning. This atlas is interoperable with widely used stereotaxic atlases, supporting cross-atlas navigation of corresponding coronal planes in two dimensions and spatial mapping across atlas spaces in three dimensions. By facilitating the data analysis and visualization for large brain mapping projects, our atlas promises to be a versatile brainsmatics tool for studying the whole brain at single-cell level.
Suggested Citation
Zhao Feng & Xiangning Li & Yue Luo & Xin Liu & Ben Long & Tao Jiang & Xueyan Jia & Xiaowei Chen & Jie Luo & Xiaokang Chai & Zhen Wang & Miao Ren & Xin Lu & Gang Yao & Mengting Zhao & Yuxin Li & Zhixia, 2025.
"A mouse brain stereotaxic topographic atlas with isotropic 1-μm resolution,"
Nature, Nature, vol. 645(8080), pages 448-456, September.
Handle:
RePEc:nat:nature:v:645:y:2025:i:8080:d:10.1038_s41586-025-09211-8
DOI: 10.1038/s41586-025-09211-8
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:645:y:2025:i:8080:d:10.1038_s41586-025-09211-8. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.